Evidence map›Paper›PMID 41098817›Full record

ArticleRoyal Society open science2025

Harnessing meta-analyses' insights in ecology and evolution research.

Pietro Pollo, April Robin Martinig, Ayumi Mizuno, Kyle Morrison, Patrice Pottier, Lorenzo Ricolfi, Jesse Tam, Coralie Williams, Yefeng Yang, Szymek Marian Drobniak and 2 more

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Pietro PolloEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0001-6555-5400
April Robin Martinig *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0002-0972-6903
Ayumi Mizuno *Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.ORCID https://orcid.org/0000-0003-0822-5637
Kyle Morrison *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3700-2398
Patrice Pottier *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2106-6597
Lorenzo Ricolfi *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0001-7101-3309
Jesse Tam *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0003-3655-1974
Coralie Williams *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0003-1312-4953
Yefeng Yang *Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8610-4016
Szymek Marian DrobniakEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0001-8101-6247
Malgorzata LagiszEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3993-6127
Shinichi NakagawaEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID https://orcid.org/0000-0002-7765-5182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meta-analyses are powerful tools to synthesize the literature in several fields of study, including ecology and evolution. However, it remains uncertain whether ecologists and evolutionary biologists fully comprehend meta-analyses' findings or effectively apply them when citing these studies in their own research. Here, we first discuss key meta-analytical concepts and provide a guide to researchers in ecology and evolution on how to harness meta-analyses' insights. For instance, we clarify the meaning of effect sizes and heterogeneity to improve understanding of meta-analyses' quantitative findings. In addition, we analysed articles published in 2023 in ecology and evolution to investigate how frequently and in what context meta-analyses were cited. We found that approximately 21% of articles cited at least one meta-analysis, and that the relative number of citations of meta-analyses (0.62% of all citations analysed) was greater than the publication frequency of meta-analytical articles (0.44% of all articles). Most importantly, we found that while the direction of mean effect sizes from cited meta-analyses was often mentioned, the magnitude of effect sizes and the limitations of the data analysed were frequently overlooked. These findings underscore the need for improved citation practices of meta-analyses in ecological and evolutionary research, which our recommendations seek to promote.

Indexed as

impact factormeta-regressionmoderatorspublication biasscientific references

Identifiers

PMID41098817
PMCPMC12520782

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.